|Queensland Water Modelling Network|
|Copyright © 2018 Queensland Water Modelling Network. All rights reserved.|
FOUR PHD SCHOLARSHIPS AVAILABLE
The Queensland Government has funded the Queensland Water Modelling Network (QWMN) to develop a broad network and build the capacity of the modelling of surface water and groundwater resources in the state.
Through the QWMN Innovation Program, the QWMN will support innovation in the sector and enhance modelling capacity by placing a cohort of PhD students with host universities and key industry partners to carry out applied research in water modelling, for natural resources management and environmental outcomes.
As a PhD student (Innovation Associate), you will receive a stipend and generous top up, industry-relevant water modelling experience, and mentoring and personal development carried out through the university, industry partner and the QWMN. As an Innovation Associate you will be expected to become an industry leader in innovation and technology in the water modelling sector.
Titles of the PhD projects under the Innovation Program, and their respective university supervisors and industry partners, are:
- Project 1: “Modelling water quality in ungauged Great Barrier Reef catchments”
(University of Southern Queensland / Bureau of Meteorology)
- Project 2: “Fate and transport of sediment and pathogens in water supply reservoirs”
(The University of Queensland / Griffith University / Seqwater)
- Project 3: “Human and climate driven pressures on groundwater and surface water resources of the Gold Coast”
(Griffith University / The University of Queensland / City of Gold Coast)
Project 4: “Quantifying evapotranspiration in groundwater dependent ecosystems”
(Queensland University of Technology / Queensland Government – Department of Environment and Science)
There are two steps to applying for a PhD scholarship under the QWMN Innovation Associates program. You must complete both steps in order to be considered for one of the four PhD scholarships.
- Step 1
Once you have selected the project you are interested in, you must complete and submit an application to the relevant host university for that PhD project.
- Step 2
You will also need to submit an application for the top-up scholarship to the QWMN. The application to the QWMN must include: confirmation of receipt of the PhD application (Step 1) to the host university, a targeted CV, and a 2-page cover letter.
FIND OUT MORE
Queensland Water Modelling Network
Copyright © 2018 Queensland Water Modelling Network. All rights reserved.
Susan Cuddy | Team leader | Basin Management Outcomes | CSIRO Land and Water |
GPO Box 1700, Canberra ACT 2601 | T: +61 2 6246 5705 | 0477 714 466 email@example.com
MSSANZ Fellow and Committee Secretary | Modelling and Simulation Society of Australia and New Zealand Inc http://mssanz.org.au
iEMSs Fellow and Board member | International Environmental Modelling and Software Society http://www.iemss.org
- Use your expertise in marine ecosystem modelling
- Work with internationally recognised scientists in world class facilities
- Join our team at CSIRO – Australia’s premier science & technology research organisation
The successful applicant will play a role in the development of a strong program of research within a multi-disciplinary group to support the sustainable use of Australia’s marine resources.
You will help execute a research portfolio in the area of risk assessment and ecosystem modelling, working with a group conducting research into ecosystem-based management of the coastal and offshore waters of Australia in relation to activities such as fishing, energy, mining, tourism, environmental conservation, and rural and urban development. The research approach is based on a scientific understanding of the functioning and dynamics of socioecological systems, including the interactions of natural and multiple human activities. This work requires an understanding of marine ecological modelling, model uncertainty and modern approaches to the science-management interface.
The work will include: collation and analysis of relevant socioecological data sets (e.g. oceanography, diet contents, economic statistics, social networks and other biological, economic and social spatial and temporal data); assisting with modelling of socioecological processes; assist with multicomponent marine risk assessments; development and refinement of methods for incorporating observational data information into multispecies and ecosystem models; and the development and refinement of methods for model parameterisation, fitting and uncertainty analysis
Your duties will include
- Assist in the application of marine and coastal socioecological models – specifically multispecies/ecosystem models of intermediate complexity (MICE), as well as approaches such as size-based models, Atlantis, Ecopath with Ecosim agent based models and risk assessment-based approaches.
- Interact with CSIRO researchers and the broader research and resource management communities to identify research priorities and develop new project proposals.
- Produce high quality scientific and/or engineering papers suitable for publication in quality journals and for presentation at national and international conferences.
Location: St Lucia, QLD
Salary: AU$97,276 – AU$105,269 plus up to 15.4% superannuation
Tenure: 5 years specified term
To be successful you will need
- A doctorate and or equivalent research experience in a relevant discipline area, such as systems modelling, quantitative marine/aquatic or fisheries science
- Direct experience in the development, calibration and delivery of marine ecosystem models.
- Experience in the initiation of original research work and development of innovative approaches to research problems.
- The ability to work effectively as part of a multi-disciplinary, regionally dispersed research team, and carry out independent individual research, to achieve organisational goals.
- A record of science innovation and creativity plus the ability & willingness to incorporate novel ideas and approaches into scientific investigations.
For details about who to contact and for more information please view Position Description
We’re working hard to recruit diverse people and ensure all our people feel supported to do their best work and empowered to let their ideas flourish.
Flexible Working Arrangements
We work flexibly at CSIRO, offering a range of options for how, when and where you work. Talk to us about how this role could be flexible for you. Balance
At CSIRO you can be part of helping to solve big, complex problems that make a real difference to our future. We spark off each other, learn from each other, trust each other and collaborate to achieve more than we could individually in a supportive, rewarding, inclusive and truly flexible environment.
To apply online, please provide a CV and cover letter outlining your suitability and motivation for the role.
Sunday 20 January 2019
There are several funded MSc and PhD positions available starting in the fall semester 2019 at the Quantitative Fisheries Ecosystems Lab (QFEL) at the Center for Fisheries Ecosystems Research (CFER) at the Marine Institute, Memorial University of Newfoundland, Canada. We work with the fishing industry and government partners on research to support sustainable fisheries in the Northwest Atlantic. More information is available at: https://www.mi.mun.ca/departments/centreforfisheriesecosystemsresearch/ocichair/
CFER continues to expand and students will join a dynamic research and training environment. The student is encouraged to develop their own projects within the broad scope of our funded research program. The student will be part of the Marine Institute’s graduate program in fish stock assessment (https://www.mi.mun.ca/programsandcourses/programs/fisheriessciencestockassessmentmasterofsciencemscdegree/) and will receive state-of-the-art training in modelling marine fish productivity contributing to improved fish stock assessment models. This will include advanced training in estimation of spatial and state-space ecological models. Career opportunities for graduates are excellent.
Desirable candidates will have strong scientific credentials in ecology, fishery science, statistics or another relevant field. Preference will be given to applicants 1) with demonstrated expertise in quantitative skills in ecology or stock assessment 2) who can code efficiently in R or other programming languages, and 3) who have a publication record (PhD students).
Funding is guaranteed for the entire length of the master (2 years) and PhD program (4 years) and fully covers tuition and living expenses.
To apply for this position: send a current curriculum vitae and letter of interest/career goals, unofficial transcripts of all college course work, and the names and contact information for two professional references to:
Dr. Noel Cadigan (Noel.Cadigan@mi.mun.ca), Dr. Jin Gao (Jin.Gao@mi.mun.ca), Dr. Fan Zhang (Fan.Zhang@mi.mun.ca). Please contact Drs. Cadigan, Gao and Zhang directly with any questions about these positions. Review of applicants will begin immediately and continue until suitable candidates are identified.